Update config.json

config.json

@@ -1 +1,63 @@
-{"architectures": ["ScriptableCrammedBERT"], "num_transformer_layers": 16, "hidden_size": 768, "intermed_size": 3072, "hidden_dropout_prob": 0.1, "norm": "LayerNorm", "norm_eps": 1e-12, "norm_scheme": "pre", "nonlin": "GELUglu", "tie_weights": true, "decoder_bias": false, "sparse_prediction": 0.25, "loss": "cross-entropy", "objective_layout": "MLM", "embedding": {"vocab_size": null, "pos_embedding": "scaled-sinusoidal", "dropout_prob": 0.1, "pad_token_id": 0, "max_seq_length": 128, "embedding_dim": 768, "normalization": true, "stable_low_precision": false}, "attention": {"type": "self-attention", "causal_attention": false, "num_attention_heads": 12, "dropout_prob": 0.1, "skip_output_projection": false, "qkv_bias": false, "rotary_embedding": false, "seq_op_in_fp32": false, "sequence_op": "torch-softmax"}, "init": {"type": "normal", "std": 0.02}, "ffn_layer_frequency": 1, "skip_head_transform": true, "use_bias": false, "final_norm": true, "num_labels": null, "classification_head": {"pooler": "avg", "include_ff_layer": true, "head_dim": 1024, "nonlin": "Tanh", "classifier_dropout": 0.1}}
+{
+  "arch": {
+    "architectures": [
+      "ScriptableCrammedBERT"
+    ],
+    "attention": {
+      "causal_attention": false,
+      "dropout_prob": 0.1,
+      "num_attention_heads": 12,
+      "qkv_bias": false,
+      "rotary_embedding": false,
+      "seq_op_in_fp32": false,
+      "sequence_op": "torch-softmax",
+      "skip_output_projection": false,
+      "type": "self-attention"
+    },
+    "classification_head": {
+      "classifier_dropout": 0.1,
+      "head_dim": 1024,
+      "include_ff_layer": true,
+      "nonlin": "Tanh",
+      "pooler": "zero_index"
+    },
+    "decoder_bias": false,
+    "embedding": {
+      "dropout_prob": 0.1,
+      "embedding_dim": 768,
+      "max_seq_length": 128,
+      "normalization": true,
+      "pad_token_id": 0,
+      "pos_embedding": "scaled-sinusoidal",
+      "stable_low_precision": false,
+      "vocab_size": 32768
+    },
+    "ffn_layer_frequency": 1,
+    "final_norm": true,
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 768,
+    "init": {
+      "std": 0.02,
+      "type": "normal"
+    },
+    "intermed_size": 3072,
+    "loss": "cross-entropy",
+    "nonlin": "GELUglu",
+    "norm": "LayerNorm",
+    "norm_eps": 1e-12,
+    "norm_scheme": "pre",
+    "num_labels": null,
+    "num_transformer_layers": 16,
+    "objective_layout": "MLM",
+    "skip_head_transform": true,
+    "sparse_prediction": 0.25,
+    "tie_weights": true,
+    "use_bias": false
+  },
+  "architectures": [
+    "ScriptableLMForPreTraining"
+  ],
+  "model_type": "crammedBERT",
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2"
+}